2346. Model-driven fleet adaption in response to environmentally conscious customer demands
Invited abstract in session WC-1: Port and shipping logistics, stream Mobility, Transportation, and Traffic.
Wednesday, 13:30-15:00Room: Audimax
Authors (first author is the speaker)
| 1. | Justin Wittig
|
| Wirtschaftswissenschaftliche Fakultät, Martin Luther Universität Halle-Wittenberg | |
| 2. | Christian Bierwirth
|
| Martin-Luther-University Halle-Wittenberg |
Abstract
With the growing relevance of indirect emissions (Scope 3) in sustainability reporting, industrial shippers are increasingly motivated to opt for climate-conscious transport solutions. This trend puts pressure in freight carriers to progressively shift their fleet toward low-emission alternatives. During this transition both, conventional and low-emission vehicles operate in parallel, creating a complex planning environment that must accommodate varying customer expectations regarding emissions and cost.
We address this problem by formulating a routing and assignment model based on the Set Partitioning Problem (SPP). This approach allow for the flexible selection of precomputed vehicle tours while incorporating different levels of fleet electrification and customer-specific trade-offs between environmental impact and transport costs.
Our computational results, based on a collaborative planning scenario, show that strategies focusing solely on cost or emission fail when heterogeneous customer preferences are considered. Instead, integrating these preferences into fleet composition and routing decisions leads to more balanced and realistic logistics solutions.
Keywords
- Logistics
- Routing
- Transportation
Status: accepted
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